Project Frontier Jorge Menéndez-Pidal

011 / Essay ·

Spain stopped building. It started squeezing.

Spain's population has grown twice in two decades. The first time, it built homes for the newcomers. The second time, it fitted them into the homes it already had, and around Barcelona the squeeze began to push residents out. Provincial maps and an international comparison.

Between 2003 and 2008, Spain added 70 homes for every 100 new residents. Between 2015 and 2024 it added 46. The number of households, people actually setting up a home of their own, fell further, from 64 to 37 per 100 new residents. The difference did not disappear. It was absorbed by more people living in each home.

The short version
  • In 2003–2008, the provinces whose population grew most also built most. Since 2015 they have not.
  • The gap has been filled by more people per home, above all on the Mediterranean coast, in the islands and in Madrid.
  • Most growing provinces still attract Spaniards from elsewhere. Around Barcelona, residents are being pushed out.
  • Among the countries compared, Spain is where new housing follows population growth least.
Figure 1

For every 100 new residents, Spain added…

National totals. Population change from 1 January of the first year to 1 January after the last; homes (the dwelling stock) and households (principal dwellings) over the same years. Sources: INE, Ministry of Housing (MIVAU).

Where the growth came from

Both periods of growth were driven by immigration. In 2003–2008 Spain gained 4.4 million residents, three quarters of them born abroad. In 2015–2024 it gained 2.7 million, and the foreign-born population grew by more than that: the number of residents born in Spain fell by about 0.9 million. This essay is about how the housing stock responded to population growth. That growth has come from abroad, and where immigrants settle can be predicted from where earlier migrants from the same countries lived, which makes it possible to measure the response cleanly.

Three ways to make room

When a place gains residents, its housing market has three ways to make room. It can build. It can turn empty flats and second homes into main residences. Or more people can share each home. Prices are not a fourth way. They are the signal that pushes the market towards one of the three, and how far they must rise depends on how easily the first one works.

In Working Paper 001 I measure the first directly: for every 1% that immigration adds to a province's population, how much does its housing stock grow? The answer changed completely between the two periods.

Figure 2

Growth of the housing stock for each 1% added to population

Estimates across 50 provinces, using population growth from immigration predicted by earlier settlement patterns by country of birth. A value of 1 means the housing stock grew as fast as population. The 2003–2008 figure describes how that boom was accommodated; it should not be read as the effect of immigration on prices, which the paper does not estimate for that period.

In 2003–2008, a province whose population grew an extra 1% expanded its housing stock by about 0.7%. Since 2015, the response has been zero: construction stopped following population. Rents did respond, rising about 1% for every 1% of population added, and house prices about four times as much.

This does not contradict Figure 1, where Spain still added 46 homes for every 100 new residents. That figure counts all building in the country. The estimate asks something narrower: did the provinces that received more immigrants build more than those that received fewer? Since 2015 they have not. Homes have gone up, but not where the new residents went.

Where building survived

The 2008 bust left about half a million new homes that nobody bought, very unevenly spread: more than 5% of the housing stock in Castellón, Toledo and Almería, about 1% or less in Bizkaia and Málaga. If that stock had been a reserve, the provinces that held most of it should have filled it first and built later. That is not what happened. The unsold homes were not drawn down faster where more people arrived; most are in places where the new residents did not go. And new building did respond to arrivals, but only in the provinces the bust had left with little unsold housing: there, each extra 1% of population brought new starts equal to about 0.3% of the housing stock. Where the bust left most, it brought almost nothing. The crash appears to have switched off building where it hit hardest, without leaving homes where they were needed.

Why not a figure for each province? I tried. Estimated one province at a time, the numbers are mostly noise: the differences between provinces are smaller than the uncertainty around each one. What the data can show reliably is the national figure for each period, and the provincial traces of what replaced construction.

Fuller homes

The clearest trace of the missing construction is how many people live in each home. For decades Spanish households have been getting smaller, and between 2003 and 2008 the number of residents per household fell in every province but one. Since 2015 it has risen in 15 provinces. Switch between the two periods on the map.

The map uses the Ministry's estimate of households, which is partly modelled. The population register gives a direct count of how many people are registered in each home, and it tells the same story: in the provinces predicted to receive more immigrants, the number of people per home rose by about 0.8% for every 1% added to the population.

Figure 3

Change in residents per household, 2015–2024

Residents per household

Largest increases · 15 provinces rose

    Residents per household is population divided by principal dwellings. Hover over or tab to a province for its population growth from immigration, residents per household and new homes per 100 new residents. The Canary Islands are shown in the inset.

    The increases are concentrated on the Mediterranean coast and in the islands: residents per household rose by 9% in Girona and by 8% in Santa Cruz de Tenerife and the Balearic Islands. Barcelona added about 7 homes for every 100 new residents, Madrid about 13. In much of the interior, where population is flat or falling, households kept shrinking as before.

    The provinces where homes became fuller are the ones whose population grew most through immigration. Before 2015 there was almost no relationship between the two. Since 2015 it is strong: each extra point of population growth from immigration goes with about 1.4% more residents per household, and immigration alone accounts for over half of the differences between provinces.

    Figure 4

    Population growth from immigration and fuller homes, by province

    Each point is a province in one period; lines are least-squares fits. Correlation: 0.14 in 2003–2008, 0.75 in 2015–2024. Descriptive; the estimates in Figure 2 are the causal ones.

    Who moves in, who moves out

    Sharing homes is one way to make room. Another is for people already living in a place to leave. In the model behind the working paper, what residents do depends on a contest between two forces. A growing place pulls people in: jobs, services, the life of a city. Call that pull a. Growth also squeezes those already there, above all through what they pay for housing. Call that squeeze Φ. If the pull wins, a > Φ, and residents move in alongside the newcomers. If the squeeze wins, a < Φ, and residents leave, passing part of the pressure on to somewhere else.

    On average, the pull has won. Between 2015 and 2024, the provinces that gained more residents from abroad also gained more Spain-born residents from the rest of the country, about 0.3 for every newcomer from abroad, close to the paper's estimate. The map shows where that breaks down.

    Figure 5

    Spain-born residents gained or lost through moves between provinces, 2015–2024

    Net moves, % of 2015 population

    Net migration between provinces of people born in Spain, 2015–2024. Hover over a province for its population growth from immigration, its yearly rate of net moves before 2015 and since, and which force appears to dominate. Sources: INE, Estadística de Migraciones (to 2020) and Estadística de Migraciones y Cambios de Residencia (from 2021).

    Most provinces that grew fast also attracted Spaniards: Málaga, Tarragona, Girona, the islands, Valencia, Alicante, Madrid. There, the pull wins. Barcelona is the clear exception. Immigration added 12% to its population, the most in the country, while it lost 1.2% of its Spain-born residents to other provinces, three times its yearly rate before 2015. Many went next door: the yearly net arrival of Spaniards rose about threefold in Tarragona and fourfold in Girona. In Barcelona the squeeze won, and part of the pressure moved along the coast. Around Madrid, Guadalajara and Toledo also gain residents from the capital, but that overflow is older; it was stronger before 2015 than since.

    Figure 6

    Newcomers from abroad, and residents moving in or out, by province

    Each point is a province, 2015–2024. The dashed line marks population growth from immigration of 6%, roughly the national figure; the solid line is the least-squares fit (0.29 Spain-born residents per newcomer from abroad; correlation 0.63). Descriptive.

    A province's position on this chart also reflects forces unrelated to population growth. Much of the interior has been losing young people to the cities for decades, which is why Jaén, Badajoz and Córdoba sit at the bottom left. The chart describes what happened in each province; it does not measure each province's pull and squeeze separately.

    Is Spain unusual?

    A simple question can be asked of any country: do the regions that grow more also add more homes? Using population and dwelling counts from the 2011 and 2021 European censuses, county estimates for the United States (2010–2020) and census divisions for Canada (2016–2021), I measure, within each country, how much faster the housing stock grew in regions whose population grew one point faster. A value of one means housing kept pace with people. A value of zero means growing regions got no more housing than stagnant ones.

    Spain has the lowest value in the sample: −0.28 for 2011–2021. The regions that gained population added slightly less housing than those that lost it. In the previous decade the figure was 0.29. Germany, Finland, the United States and Canada sit between about 0.6 and 0.75. Sweden, where Stockholm's housing shortage is well documented, is close to zero. The Spanish figure is not a quirk of the census: the Ministry's own provincial series gives −0.32 for the same decade.

    Figure 7

    Does housing grow where people go?

    Within each country, the population-weighted slope of housing growth on population growth across regions (NUTS 3 regions in Europe, counties in the US, census divisions in Canada), with 90% intervals. 2011–2021 unless stated. Hollow black markers: countries whose population fell, where the measure mostly reflects that shrinking regions do not lose homes. Hollow orange: Spain in the previous decade. Sources: Eurostat, US Census Bureau, Statistics Canada.

    Population growth has different sources across countries, so a closer comparison looks only at growth from immigration. The 2021 European census records, for every region, the residents born abroad who arrived since 2010. Among countries where they reached at least 3% of the population, Germany's regions added about 0.46% more homes for every point of such arrivals, and Denmark's about 0.25; Finland's built more still. Austria, Belgium and Italy show no relationship. Spain and Sweden have negative estimates, though too imprecise to rule out zero. For US counties, using net international migration, the figure is 0.43.

    Figure 8

    New housing per point of population growth from immigration, 2011–2021

    Within each country, the population-weighted slope across NUTS 3 regions of housing growth on arrivals from abroad since 2010, as a share of the 2011 population, with 90% intervals. Countries where such arrivals were below 3% of the population are omitted.

    What the comparison can and cannot say

    These comparisons are descriptive: unlike Figure 2, they do not separate population growth from the other things that make a region attractive. Censuses also define dwellings differently across countries, which is why each comparison is made within a country, where such differences mostly cancel out. Countries are dropped when census population growth departs from the official population series by more than two points, when the housing stock grows implausibly over a decade, or when regions cannot be matched across censuses. That rule excludes France, Switzerland (2011–2021), the Netherlands, Ireland and the United Kingdom, among others.

    What would prove me wrong

    The finding would be overturned if municipal data showed that building did follow arrivals within provinces, for instance in commuter belts that provincial data average away; or if the register counted people who are registered at an address but do not live there, which would inflate the rise in people per home. Neither can be ruled out with provincial data, and both are the next things to check.

    What follows

    Sharing is the least visible way to absorb population growth. It does not show up in a price index, and its cost falls on those looking for a home: newcomers, young people leaving their parents, families who need more space. It is also the way that remains when the others are closed. Construction has not responded. Residents, on average, are still moving towards the places that grow, except around Barcelona, where the squeeze has begun to push them out. What is left is sharing.

    The question this raises is not how to stop population growth, but how a growing country should make room. A housing market that can build turns new residents into new homes. One that cannot turns them into higher rents and fuller flats.

    Those rents are paid by renters, and renters are mostly young and on lower incomes: half of households headed by someone under 30 rent at market prices, against one in twenty of those over 65. The rise in house prices goes the other way, to owners, who are older and richer. When a country stops building where people go, the cost of making room falls on the people looking for a home, and the gain goes to those who already have one.

    Methods and sources

    Population by place of birth: INE, Estadística Continua de Población and Padrón. Housing stock and principal dwellings: Ministry of Housing (MIVAU) annual estimates by province, which are partly model-based. The construction, rent and price responses come from Working Paper 001, which predicts population growth from immigration with a leave-one-out shift-share built from settlement patterns by country of birth (2001 shares for 2003–2008, 2011 shares for 2015–2024) and reports shift-share-robust inference. Net interprovincial migration by place of birth: INE, Estadística de Migraciones (2008–2020) and Estadística de Migraciones y Cambios de Residencia (2021–2024), spliced at 2021. Province boundaries: click_that_hood / CartoDB. International comparison: Eurostat population and housing censuses 2001, 2011 and 2021 (NUTS 3), Eurostat population on 1 January (validation), US Census Bureau county population and housing-unit estimates 2010–2020, Statistics Canada 2021 census population and dwelling counts by census division. Unsold new homes by province: MIVAU, Informe sobre el stock de vivienda nueva, editions 2016–2024. Starts and completions: MIVAU. People per home: INE, Atlas de Distribución de Renta de los Hogares (population register, by census section). Tenure by income and age: INE, Encuesta de Condiciones de Vida, and Eurostat. Periods follow the paper: 2003–2008 and 2015–2024 run from 1 January of the first year to 1 January after the last. Code and data are in the paper's replication folder.